updateNorm-methods {ROptEst} | R Documentation |
Methods for Function updateNorm in Package ‘ROptEst’
Description
updateNorm-methods to update norm in IC-Algo
Usage
updateNorm(normtype, ...)
## S4 method for signature 'SelfNorm'
updateNorm(normtype, L2, neighbor, biastype, Distr, V.comp,
cent, stand, w)
Arguments
normtype |
normtype of class |
... |
further arguments to be passed to specific methods. |
L2 |
L2derivative |
neighbor |
object of class |
biastype |
object of class |
cent |
optimal centering constant. |
stand |
standardizing matrix. |
Distr |
standardizing matrix. |
V.comp |
matrix: indication which components of the standardizing matrix have to be computed. |
w |
object of class |
Details
updateNorm
is used internally in the opt-IC-algorithm to be
able to work with a norm that depends on the current covariance
(SelfNorm
)
Value
updateNorm |
an updated object of class |
Methods
- updateNorm
signature(normtype = "SelfNorm")
: udates the norm in the self-standardized case; just used internally in the opt-IC-Algorithm.
Author(s)
Peter Ruckdeschel peter.ruckdeschel@uni-oldenburg.de
See Also
[Package ROptEst version 1.3.3 Index]